collocated with CAV, 18-19 July 2021

Los Angeles, CA, USA

8:00 PDT / 17:00 CEST

Stanley Bak (Stony Brook University, USA)

Invited talk

9:00 PDT / 18:00 CEST

Bai Xue (State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China)

Invited talk

10:00 PDT / 19:00 CEST

Break

10:15 PDT / 19:15 CEST

Sanjit A. Seshia (University of California, Berkeley, USA)

Invited talk

11:15 PDT / 20:15 CEST

Break

11:30 PDT / 20:30 CEST

Daniel Genin, Ivan Papusha, Joshua Brule, Tyler Young, Galen Mullins, Yanni Kouskoulas, Rosa Wu and Aurora Schmidt

8:00 PDT / 17:00 CEST

Eva Darulova (Max Planck Institute for Software Systems, Germany)

Invited talk

9:00 PDT / 18:00 CEST

Yu Wang (Duke University, USA)

Invited talk

10:00 PDT / 19:00 CEST

Break

10:15 PDT / 19:15 CEST

William Weens, Thibaud Vazquez-Gonzalez and Louise Ben Salem-Knapp

10:45 PDT / 19:45 CEST

Farah Benmouhoub, Matthieu Martel and Pierre-Loic Garoche

11:15 PDT / 20:15 CEST

Closing remarks

Numerical computations are ubiquitous in digital systems: supervision, prediction, simulation and signal processing rely heavily on numerical calculus to achieve desired goals. Design and verification of numerical algorithms has a unique set of challenges, which set it apart from rest of software verification.
The implementation of numerical techniques on modern hardware adds another layer of approximation because of the use of finite representations of infinite precision numbers that usually lack basic arithmetic properties such as commutativity and associativity.
Finally, the development and analysis of cyber-physical systems (CPS) which involve the interacting continuous and discrete components pose a further challenge. It is hence imperative to develop logical and mathematical techniques for the reasoning about programmability and reliability.
The NSV workshop is dedicated to the development of such techniques.
This year, the NSV workshop is hosting a **special session on numerical computations in machine learning**. This includes, but is not limited to, performance vs accuracy trade-offs, reliability, robustness, co-design of hardware and software for numerical computations in machine learning frameworks.

The scope of the workshop includes, but is not restricted to, the following topics:

- Quality of finite precision numerics
- Representations of real numbers such as dfloat, finite precision, logarithmic number systems, etc
- Validation and verification of machine learning algorithms
- Performance-accuracy trade-offs in floating point representations in machine learning
- Robustness, reliability, and hardware software co-design for numerical computations in machine learning
- Validation and verification in scientific computing and simulations
- Specifications of correctness of numerical algorithms
- Numerical optimization methods
- Hybrid systems and control software verification
- Quantitative and qualitative analysis of hybrid systems
- Optimal control and synthesis of dynamical systems
- Applications in space, avionics, automotive, systems biology, etc

Submissions deadline: |
May 14, 2021 23:59 (AoE) |
---|---|

Notification: | May 25, 2021 |

Workshop: | July 18-19, 2021 (The workshop will be held online.) |

We solicit regular and short papers.
Paper submission must be
performed via the EasyChair system: *https://easychair.org/conferences/?conf=nsv21*.

Regular papers must describe original work, be written and presented in English, and must not substantially overlap with papers that have been published or that are under submission. Submitted papers will be judged on the basis of significance, relevance, correctness, originality, and clarity. They should clearly identify what has been accomplished and why it is significant.

Regular paper submissions should not exceed 15 pages in LNCS style, plus possibly bibliography and appendices. However, program committee members are not required to read the appendices, thus papers must be intelligible without them.

Short papers are also welcome: they should present tools, benchmarks, case-studies or be extended abstracts of ongoing research. Short papers should not exceed 6 pages, excluding extra material as above.

All accepted papers will be published as Lecture Notes in Computer Science (LNCS) with Springer Verlag http://www.springer.com/lncs.

- Stanley Bak, Stony Brook University, USA
- Eva Darulova, Max Planck Institute for Software Systems, Germany
- Sanjit A. Seshia, University of California, Berkeley, USA
- Yu Wang, Duke University, USA
- Bai Xue, State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China

**Modeling round-off errors in hydrodynamic simulations**

Authors: William Weens, Thibaud Vazquez-Gonzalez and Louise Ben Salem-Knapp**An Efficient Summation Algorithm for the Accuracy, Convergence and Reproducibility of Parallel Numerical Methods**

Authors: Farah Benmouhoub, Matthieu Martel and Pierre-Loic Garoche**Formal Verification of Neural Network Controllers for Collision-Free Flight**

Authors: Daniel Genin, Ivan Papusha, Joshua Brule, Tyler Young, Galen Mullins, Yanni Kouskoulas, Rosa Wu and Aurora Schmidt

- Rayna Dimitrova, CISPA Helmholtz Center for Information Security, Germany
- Chuchu Fan, Massachusetts Institute of Technology, USA

- Houssam Abbas, Oregon State University
- Jyotirmoy Deshmukh, University of Southern California
- Bruno Dutertre, SRI International
- Sicun Gao, University of California San Diego
- Mirco Giacobbe, University of Oxford
- Taylor T Johnson, Vanderbilt University
- Soonho Kong, Toyota Research Institute
- Laura Nenzi, University of Trieste
- Nicola Paoletti, Royal Holloway, University of London
- Yasser Shoukry, University of California, Irvine
- Miriam García Soto, IST Austria
- Sadegh Soudjani, Newcastle University
- Hoang-Dung Tran, Vanderbilt University
- Tichakorn (Nok) Wongpiromsarn, Iowa State University
- Paolo Zuliani, Newcastle University

- Sergiy Bogomolov, Newcastle University, UK
- Radu Grosu, TU Vienna, Austria
- Matthieu Martel, Université de Perpignan, France
- Pavithra Prabhakar, Kansas State University, USA
- Sriram Sankaranarayanan, UC Boulder, USA

- 2020, July 20-21, virtual, collocated with CAV 2020
- 2019, July 13-14, New York, NY, USA, collocated with CAV 2019
- 2018, July 18, Oxford, UK, collocated with FLoC 2018
- 2017, July 22-23, Heidelberg, Germany, collocated with CAV 2017
- 2016, July 17-18, Toronto, Ontario, Canada, collocated with CAV 2016
- 2015, April 13, Seattle, USA, collocated with CPSWeek 2015
- 2014, July 17-18, Vienna, Austria, collocated with Vienna Summer of Logic 2014
- 2013, April 8, Philadelphia, Pennsylvania, collocated with CPSWeek 2013
- 2012, July 7-8, Berkeley, California, collocated with CAV 2012
- 2011, July 14, Salt lake City, Utah, collocated with CAV 2011
- 2010, July 15, Edinburgh, UK, collocated with FLoC 2010
- 2009, April 16, San Fransisco, California collocated with CPSWeek 2009
- 2008, July 8, Princeton, New Jersey, collocated with CAV 2008